Data Engineer - Model Validation
Cardiologs
Paris, FR
il y a 3j

What you’ll do

Cardiologs is developing a medical-grade AI to analyze ECGs, constantly improving, with a release every five weeks. To achieve such frequency, rarely seen in medical device development, we are constantly validating our algorithms on a large number of datasets.

We are looking for an energetic Data Engineer to help with the validation of our algorithms : build and scale up medical datasets, automatize the generation of performance evaluations, work on the submission of future products to regulators.

You will be working on the validation of our algorithms, at the crossroads of the research team, the engineering team and the regulatory and quality affairs team.

You will maintain and improve our evaluation pipelines. You will maintain certain parts of our quality management system such as our risk management, traceability matrix, clinical evaluation report.

You will also participate in the creation of future evaluation datasets, from the selection of interesting strips from our database to the annotation by experts, to the quality control.

Who you are

A rigorous, committed, enthusiastic person with a "can-do", creative and challenging mindsetYou have experience with Python, NumPy, Pandas or equivalents and you are eager to learnYou have a solid understanding of Machine Learning good practices, experience working on machine learning algorithms in production is a plusFluent in spoken and written English, and have at least basic notions in French Being authorised to work in the EU is a precondition of employment.

Bonus : Experience with SQL databases and web APIsYou have experience working with a quality management systemYou already worked in a startup environmentYou have previous experience and / or strong interest in developing healthcare products

Our Recruiting ProcessQuick introductory HR phone callQuick technical phone call with a 10' tech test in PythonHomeworkTechnical interview in our officePerformance interview in our officeCulture interview with lunch (or drinks) with the team

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